class_docstr: This `Field` represents a list of string tokens.  Before constructing this object, you need
  to tokenize raw strings using a :class:`~allennlp.data.tokenizers.tokenizer.Tokenizer`.
  
  Because string tokens can be represented as indexed arrays in a number of ways, we also take a
  dictionary of :class:`~allennlp.data.token_indexers.token_indexer.TokenIndexer`
  objects that will be used to convert the tokens into indices.
  Each `TokenIndexer` could represent each token as a single ID, or a list of character IDs, or
  something else.
  
  This field will get converted into a dictionary of arrays, one for each `TokenIndexer`.  A
  `SingleIdTokenIndexer` produces an array of shape (num_tokens,), while a
  `TokenCharactersIndexer` produces an array of shape (num_tokens, num_characters).
code: def __init__(
      self,
      tokens: List[Token],
      token_indexers: Optional[Dict[str, TokenIndexer]] = None,
  ) -> None:
      self.tokens = tokens
      self._token_indexers = token_indexers
      self._indexed_tokens: Optional[Dict[str, IndexedTokenList]] = None
  
      if not all(isinstance(x, (Token, SpacyToken)) for x in tokens):
          raise ConfigurationError(
              "TextFields must be passed Tokens. "
              "Found: {} with types {}.".format(
                  tokens, [type(x) for x in tokens]
              )
          )
  
imports: from collections import defaultdict
  from copy import deepcopy
  from typing import Dict, List, Optional, Iterator
  import textwrap
  from spacy.tokens import Token
  import torch
  from allennlp.common.checks import ConfigurationError
  from allennlp.data.fields.sequence_field import SequenceField
  from allennlp.data.tokenizers import Token
  from allennlp.data.token_indexers.token_indexer import TokenIndexer, IndexedTokenList
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.nn import util
label_desc: Use image node_id 1 to create a new TextField object from inherited base classes: SequenceField with example: obj = TextField(tokens, token_indexers)